AI & Machine Learning | Computer Vision | Computational Imaging | Biomedical AI
I work in artificial intelligence, machine learning, computer vision, and computational imaging, with a particular focus on biomedical and scientific applications. My research develops mathematically grounded and data-driven approaches for analyzing complex imaging and multimodal data, combining machine learning with image processing, pattern recognition, optimization, statistical inference, and imaging science.
My work has included biomedical imaging, computational biology, clinical decision support, and environmental imaging. I have led interdisciplinary research projects supported by federal agencies and have worked with researchers and students across engineering, computer science, mathematics, biology, medicine, and the physical sciences.
A central goal of my research is to develop AI methods that are not only effective in practice, but also grounded in mathematical principles, interpretable where possible, and appropriate for the scientific problems they are intended to address. I am particularly interested in connecting advances in AI and machine learning with quantitative imaging and scientific discovery. Teaching has been another important part of my academic activity. I have taught courses in image processing, pattern recognition, machine learning, computer vision, mathematics, and related areas at the undergraduate and graduate levels. I have also developed course materials, programming laboratories, and project-based learning activities that connect mathematical foundations with practical computational methods.I founded the Mathematical Imaging and Visual Computing (MIVIC) Lab, a research group focused on computer vision, machine learning, mathematical methods for visual computing, and biomedical image analysis.
The lab's work includes medical and biological image analysis, cell segmentation and tracking, quantitative tissue characterization, machine learning, and remote-sensing applications. MIVIC also provides opportunities for students to work on research projects in AI, computer vision, and computational imaging.
Visit the MIVIC Lab website for more information.
My recent work spans biomedical imaging, computational biology, and machine learning for scientific and clinical applications. A full list of publications is available through Google Scholar.
I am committed to teaching and mentoring students in areas related to computer vision, image processing, machine learning, and computational methods for scientific discovery.